http://index.cslt.org/mediawiki/index.php?action=history&feed=atom&title=Text-2014-12-18
Text-2014-12-18 - 版本历史
2026-04-07T12:55:49Z
本wiki的该页面的版本历史
MediaWiki 1.23.3
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13042&oldid=prev
Lr：/* blog */
2014-12-18T03:55:24Z
<p><span dir="auto"><span class="autocomment">blog</span></span></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:55的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第17行：</td>
<td colspan="2" class="diff-lineno">第17行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==blog==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==blog==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Neural Networks (Deep Learning) , NLP and Text Mining[http://www.zhizhihu.com/html/y2014/4662.html]ppt[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ea/PijiLi-dl-tm.pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Neural Networks (Deep Learning) , NLP and Text Mining[http://www.zhizhihu.com/html/y2014/4662.html]ppt[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ea/PijiLi-dl-tm.pdf]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">:* it is a good summary for word2vec in nlp from 香港中文大学</ins></div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13041&oldid=prev
Lr：/* blog */
2014-12-18T03:54:41Z
<p><span dir="auto"><span class="autocomment">blog</span></span></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:54的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第16行：</td>
<td colspan="2" class="diff-lineno">第16行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==blog==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==blog==</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Neural Networks (Deep Learning) , NLP and Text Mining[http://www.zhizhihu.com/html/y2014/4662.html]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Neural Networks (Deep Learning) , NLP and Text Mining[http://www.zhizhihu.com/html/y2014/4662.html<ins class="diffchange diffchange-inline">]ppt[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ea/PijiLi-dl-tm.pdf</ins>]</div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13039&oldid=prev
Lr：/* CNN in NLP */
2014-12-18T03:50:18Z
<p><span dir="auto"><span class="autocomment">CNN in NLP</span></span></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:50的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第15行：</td>
<td colspan="2" class="diff-lineno">第15行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==cnn code==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==cnn code==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==blog==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Neural Networks (Deep Learning) , NLP and Text Mining[http://www.zhizhihu.com/html/y2014/4662.html]</ins></div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13038&oldid=prev
Lr：/* related paper */
2014-12-18T03:48:54Z
<p><span dir="auto"><span class="autocomment">related paper</span></span></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:48的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第11行：</td>
<td colspan="2" class="diff-lineno">第11行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks for Sentence Classification[https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014.pdf](EMNLP2014)</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks for Sentence Classification[https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014.pdf](EMNLP2014)</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Relation Classification via Convolutional Deep Neural Network.“ COLING 2014 Best Paper[http://www.nlpr.ia.ac.cn/cip/liukang.files/coling2014.pdf]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==cnn code==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==cnn code==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html]</div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13037&oldid=prev
Lr：/* CNN in NLP */
2014-12-18T03:39:55Z
<p><span dir="auto"><span class="autocomment">CNN in NLP</span></span></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:39的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第1行：</td>
<td colspan="2" class="diff-lineno">第1行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=CNN in NLP=</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=CNN in NLP=</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>==PPT==</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>==<ins class="diffchange diffchange-inline">meeting ppt==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">==Conference </ins>PPT==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* EMNLP2014 Convolutional Neural Networks for Sentence Classi�cation [https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014_slides.pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* EMNLP2014 Convolutional Neural Networks for Sentence Classi�cation [https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014_slides.pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* NIPS2014 PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* NIPS2014 PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf]</div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13036&oldid=prev
2014年12月18日 (四) 03:39 Lr
2014-12-18T03:39:10Z
<p></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:39的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第10行：</td>
<td colspan="2" class="diff-lineno">第10行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks for Sentence Classification[https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014.pdf](EMNLP2014)</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Networks for Sentence Classification[https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014.pdf](EMNLP2014)</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==cnn code==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html]</ins></div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13035&oldid=prev
Lr：/* related paper */
2014-12-18T03:34:37Z
<p><span dir="auto"><span class="autocomment">related paper</span></span></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:34的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第9行：</td>
<td colspan="2" class="diff-lineno">第9行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf](nips 2014)</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf](nips 2014)</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Convolutional Neural Networks for Sentence Classification[https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014.pdf](EMNLP2014)</ins></div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13034&oldid=prev
Lr：/* related paper */
2014-12-18T03:33:42Z
<p><span dir="auto"><span class="autocomment">related paper</span></span></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:33的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第8行：</td>
<td colspan="2" class="diff-lineno">第8行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* A Convolutional Neural Network for Modelling Sentences [http://nal.co/papers/Kalchbrenner_DCNN_ACL14](acl2014)</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* A Convolutional Neural Network for Modelling Sentences [http://nal.co/papers/Kalchbrenner_DCNN_ACL14](acl2014)</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf](nips 2014)</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf](nips 2014)</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]</ins></div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13033&oldid=prev
Lr：/* PPT */
2014-12-18T03:32:39Z
<p><span dir="auto"><span class="autocomment">PPT</span></span></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年12月18日 (四) 03:32的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第1行：</td>
<td colspan="2" class="diff-lineno">第1行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=CNN in NLP=</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=CNN in NLP=</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==PPT==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==PPT==</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>*</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* <ins class="diffchange diffchange-inline">EMNLP2014 Convolutional Neural Networks for Sentence Classi�cation [https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014_slides.pdf]</ins></div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del class="diffchange diffchange-inline">NIPS </del>PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* <ins class="diffchange diffchange-inline">NIPS2014 </ins>PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* </ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==related paper==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==related paper==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* A Convolutional Neural Network for Modelling Sentences [http://nal.co/papers/Kalchbrenner_DCNN_ACL14](acl2014)</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* A Convolutional Neural Network for Modelling Sentences [http://nal.co/papers/Kalchbrenner_DCNN_ACL14](acl2014)</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf](nips 2014)</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf](nips 2014)</div></td></tr>
</table>
Lr
http://index.cslt.org/mediawiki/index.php?title=Text-2014-12-18&diff=13032&oldid=prev
Lr：以“=CNN in NLP= ==PPT== * * NIPS PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf] ==related paper== * A Convolutiona...”为内容创建页面
2014-12-18T03:31:03Z
<p>以“=CNN in NLP= ==PPT== * * NIPS PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf] ==related paper== * A Convolutiona...”为内容创建页面</p>
<p><b>新页面</b></p><div>=CNN in NLP=<br />
==PPT==<br />
*<br />
* NIPS PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf]<br />
==related paper==<br />
* A Convolutional Neural Network for Modelling Sentences [http://nal.co/papers/Kalchbrenner_DCNN_ACL14](acl2014)<br />
* Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf](nips 2014)</div>
Lr